Computational Methods for the Multiscale Modeling of Soft Matter
- 1st Edition - December 1, 2025
- Latest edition
- Editors: Paola Carbone, Nigel Clarke
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 7 3 1 4 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 7 3 1 5 - 5
Computational Methods for the Multiscale Modeling of Soft Matter offers a thorough overview of various simulation techniques essential for the study of soft materials. This book… Read more
Computational Methods for the Multiscale Modeling of Soft Matter offers a thorough overview of various simulation techniques essential for the study of soft materials. This book delves into numerical and molecular modeling methods, spanning multiple time and length scales. It is particularly valuable for postgraduate students and researchers in materials science, computational physics, chemistry, and chemical engineering. Alongside fundamental theoretical concepts, the book includes numerous examples from a wide range of soft materials, demonstrating how computational methods complement experimental characterization and significantly advance the manufacturing sector.
Chapters illustrate how modeling techniques aid in interpreting experimental data and how experiments help parameterize models. The book also enables experts in one technique to transition to other tools more easily, which is increasingly important as multiscale tools become more sophisticated and accessible. It brings together diverse modeling approaches and applications, creating a comprehensive resource for understanding simulation methods for soft materials such as polymers, surfactants, and colloids.
- Introduces the theoretical underpinnings of a broad range of soft matter modeling techniques
- Demonstrates the critical assessment of the strengths and weaknesses of each of the techniques, including comparisons with experimental data when possible
- Provides example applications to guide the reader through how techniques can be used in practice
Postgraduate students pursuing a PhD in materials science, computational physics and chemists and chemical engineering interested in learning about simulation methods for soft materials as polymers, surfactants, and colloids. Scientists working in the food, cosmetic and plastic industrial sector and in general in the areas of formulated soft materials.
Part I: Soft Matter Modelling Methods
1. Using Dissipative Particles Dynamics to model polymeric systems
2. Self Consistent Field Theory and Field Theoretic Simulations for predicting microphase separation in block copolymers
3. Simulations of Colloidal Systems
4. Methods to model ionic systems
5. Capturing Atomistic Dynamics of Macromolecules via Coarse-Grained Modeling
6. Mixing atoms and coarse-grained beads in modelling polymers
Part II: Applications
7. Monte carlo simulations of packings of colloidal systems
8. Insights into Morphology and Ion Transport from Simulations of Ionic Polymers
9. Modelling charge transfer in polymers
10. The Fascinating Behavior of Polymers at Interfaces
11. Polymer Field Theory Calculations of Grafted Nanoparticles
12. Nanocomposites. Applying MD to determine polymer structure and dynamics in the presence of nanoparticles
13. SFree Volume Elements in Polymer Membranes: Theory, Characterization, Functional Significance, and Design Strategy
14. Polymer composites modelling in the tyre industry
1. Using Dissipative Particles Dynamics to model polymeric systems
2. Self Consistent Field Theory and Field Theoretic Simulations for predicting microphase separation in block copolymers
3. Simulations of Colloidal Systems
4. Methods to model ionic systems
5. Capturing Atomistic Dynamics of Macromolecules via Coarse-Grained Modeling
6. Mixing atoms and coarse-grained beads in modelling polymers
Part II: Applications
7. Monte carlo simulations of packings of colloidal systems
8. Insights into Morphology and Ion Transport from Simulations of Ionic Polymers
9. Modelling charge transfer in polymers
10. The Fascinating Behavior of Polymers at Interfaces
11. Polymer Field Theory Calculations of Grafted Nanoparticles
12. Nanocomposites. Applying MD to determine polymer structure and dynamics in the presence of nanoparticles
13. SFree Volume Elements in Polymer Membranes: Theory, Characterization, Functional Significance, and Design Strategy
14. Polymer composites modelling in the tyre industry
- Edition: 1
- Latest edition
- Published: December 1, 2025
- Language: English
PC
Paola Carbone
Paola Carbone is Professor of Physical Chemistry at the Department of Chemical Engineering, University of Manchester, UK. Her expertise is in the multiscale modelling of soft matter with a focus on developing workflows to couple different molecular modelling techniques. She obtained her PhD in Material Science from University of Milano-Bicocca in Milan, Italy in 2004. After a 2-years postdoc at the University of Bologna, Italy, in 2006 she was awarded a fellowship from the Humboldt Foundation and joined the group of Professor Mueller-Plathe at the Technical University of Darmstadt in Germany. In 2008 she was awarded a RCUK fellowship and joined the Department of Chemical Engineering at the University of Manchester, UK where she was promoted to Professor in 2020.
Affiliations and expertise
Professor of Condensed Matter Theory, Department of Physics and Astronomy, University of Sheffield, UKNC
Nigel Clarke
Nigel Clarke is a Professor of Condensed Matter Theory at the School of Mathematical and Physical Sciences, University of Sheffield, UK. He has an active research program in both theory and simulations of polymer structure and dynamics. His research on developing models for structure evolution in polymers uses phase field models. Recently, his work on phase field models for phase separation helped elucidate the role of phase separation in creating structural colour in beetle scales. He developed the first theoretical framework for simultaneous de-wetting and phase separation. He pioneered the use of phase field models to predict structure/property relations in amorphous polymeric organic photovoltaics. He also has experience with molecular dynamics and dissipative particle dynamics, which he used to model structure and dynamics in polymer nanocomposites in a joint project with colleagues at the University of Pennsylvania, USA. He received his PhD from the University of Sheffield, UK in 1994, and following postdoctoral research positions at The University of Southampton and The University of Leeds, also in the UK he moved to the Manchester Institute of Science and Technology (UMIST) Materials Science for his first academic position. He then spent 13 years in the Department of Chemistry at Durham University, UK before returning to Sheffield University in 2011.
Affiliations and expertise
Professor of Condensed Matter Theory, School of Mathematical and Physical Sciences, University of Sheffield, UK